Role of Musculoskeletal Disorders as Concurrent Chronic Conditions: Are They Underestimated in the Discharge?
Background: Differences in recording concurrent chronic conditions (CCs) could change the weight of the influence of the different CCs on health status. Objectives: To determine the role of musculoskeletal disorders as concurrent CCs. Methods: Cross-sectional study. Discharged patients with CCs were...
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Veröffentlicht in: | Gerontology (Basel) 2009-01, Vol.55 (6), p.666-673 |
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description | Background: Differences in recording concurrent chronic conditions (CCs) could change the weight of the influence of the different CCs on health status. Objectives: To determine the role of musculoskeletal disorders as concurrent CCs. Methods: Cross-sectional study. Discharged patients with CCs were selected by random stratification. Sociodemographic and clinical variables, health status (SF-36), type and number of self-reported and hospital discharge summary CCs were recorded. Relationships were analyzed using linear regression models. Results: In the 227 patients included, mean self-reported CCs were 6.22 (SD 3.37) and mean hospital discharge CCs were 3.1 (SD 1.95). The most-frequent self-reported CCs were hypertension 48.4%, back pain 40.4%, neck pain 39.6%, and musculoskeletal disorders 38.4%. The most frequent discharge CCs were arterial hypertensive disease 38.3%, all cancers 22.0%, ischemic heart diseases, and angina 15.9%. Musculoskeletal disorders had the greatest negative influence on SF-36 dimensions (p < 0.05). Conclusions: Musculoskeletal disorders were underestimated in the discharge summary in comparison with those reported by patients. |
doi_str_mv | 10.1159/000240014 |
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Objectives: To determine the role of musculoskeletal disorders as concurrent CCs. Methods: Cross-sectional study. Discharged patients with CCs were selected by random stratification. Sociodemographic and clinical variables, health status (SF-36), type and number of self-reported and hospital discharge summary CCs were recorded. Relationships were analyzed using linear regression models. Results: In the 227 patients included, mean self-reported CCs were 6.22 (SD 3.37) and mean hospital discharge CCs were 3.1 (SD 1.95). The most-frequent self-reported CCs were hypertension 48.4%, back pain 40.4%, neck pain 39.6%, and musculoskeletal disorders 38.4%. The most frequent discharge CCs were arterial hypertensive disease 38.3%, all cancers 22.0%, ischemic heart diseases, and angina 15.9%. Musculoskeletal disorders had the greatest negative influence on SF-36 dimensions (p < 0.05). Conclusions: Musculoskeletal disorders were underestimated in the discharge summary in comparison with those reported by patients.</description><identifier>ISSN: 0304-324X</identifier><identifier>EISSN: 1423-0003</identifier><identifier>DOI: 10.1159/000240014</identifier><identifier>PMID: 19776537</identifier><identifier>CODEN: GERNDJ</identifier><language>eng</language><publisher>Basel, Switzerland: Karger</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Back Pain - epidemiology ; Biological and medical sciences ; Cardiovascular Diseases - epidemiology ; Chronic Disease - epidemiology ; Chronic illnesses ; Clinical Section ; Cross-Sectional Studies ; Development. Metamorphosis. Moult. Ageing ; Discharge ; Female ; Fundamental and applied biological sciences. Psychology ; Health Status ; Humans ; Hypertension ; Hypertension - epidemiology ; Linear Models ; Male ; Middle Aged ; Musculoskeletal diseases ; Musculoskeletal Diseases - epidemiology ; Neck Pain - epidemiology ; Neoplasms - epidemiology ; Pain ; Patient Discharge - statistics & numerical data ; Rheumatic Diseases - epidemiology ; Spain - epidemiology ; Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><ispartof>Gerontology (Basel), 2009-01, Vol.55 (6), p.666-673</ispartof><rights>2009 S. Karger AG, Basel</rights><rights>2009 INIST-CNRS</rights><rights>Copyright (c) 2009 S. Karger AG, Basel</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-7c06ac16cd707a5409f76efeca16b94b61586eac3888d601296685c41adb9cbf3</citedby><cites>FETCH-LOGICAL-c362t-7c06ac16cd707a5409f76efeca16b94b61586eac3888d601296685c41adb9cbf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,2425,27911,27912</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22058547$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19776537$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nuñez, Montserrat</creatorcontrib><creatorcontrib>Sastre, Sergi</creatorcontrib><creatorcontrib>Vidal, Merce</creatorcontrib><creatorcontrib>Jansa, Margarida</creatorcontrib><creatorcontrib>Nuñez, Esther</creatorcontrib><creatorcontrib>del-Val, Jose-Luis</creatorcontrib><creatorcontrib>Ortega, Raquel</creatorcontrib><creatorcontrib>Hernandez, Carmen</creatorcontrib><title>Role of Musculoskeletal Disorders as Concurrent Chronic Conditions: Are They Underestimated in the Discharge?</title><title>Gerontology (Basel)</title><addtitle>Gerontology</addtitle><description>Background: Differences in recording concurrent chronic conditions (CCs) could change the weight of the influence of the different CCs on health status. Objectives: To determine the role of musculoskeletal disorders as concurrent CCs. Methods: Cross-sectional study. Discharged patients with CCs were selected by random stratification. Sociodemographic and clinical variables, health status (SF-36), type and number of self-reported and hospital discharge summary CCs were recorded. Relationships were analyzed using linear regression models. Results: In the 227 patients included, mean self-reported CCs were 6.22 (SD 3.37) and mean hospital discharge CCs were 3.1 (SD 1.95). The most-frequent self-reported CCs were hypertension 48.4%, back pain 40.4%, neck pain 39.6%, and musculoskeletal disorders 38.4%. The most frequent discharge CCs were arterial hypertensive disease 38.3%, all cancers 22.0%, ischemic heart diseases, and angina 15.9%. Musculoskeletal disorders had the greatest negative influence on SF-36 dimensions (p < 0.05). Conclusions: Musculoskeletal disorders were underestimated in the discharge summary in comparison with those reported by patients.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Back Pain - epidemiology</subject><subject>Biological and medical sciences</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Chronic Disease - epidemiology</subject><subject>Chronic illnesses</subject><subject>Clinical Section</subject><subject>Cross-Sectional Studies</subject><subject>Development. Metamorphosis. Moult. Ageing</subject><subject>Discharge</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Health Status</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - epidemiology</subject><subject>Linear Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Musculoskeletal diseases</subject><subject>Musculoskeletal Diseases - epidemiology</subject><subject>Neck Pain - epidemiology</subject><subject>Neoplasms - epidemiology</subject><subject>Pain</subject><subject>Patient Discharge - statistics & numerical data</subject><subject>Rheumatic Diseases - epidemiology</subject><subject>Spain - epidemiology</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><issn>0304-324X</issn><issn>1423-0003</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpd0c9L5TAQB_Agij5dD95FgiCyh-5OfjRpvYg8XXdBERYFbyVNp75qX6JJe_C_N-U9FDwFvnwymcwQcsDgF2N5-RsAuARgcoPMmOQiS4HYJDMQIDPB5eMO2Y3xOYXAGWyTHVZqrXKhZ2T53_dIfUtvx2jH3scX7HEwPb3sog8NhkhNpHPv7BgCuoHOF8G7zk5R0w2dd_GMXgSk9wt8pw8u3cA4dEszYEM7R4cFTqXswoQnPP9BtlrTR9xfn3vk4c_V_fxvdnN3_W9-cZNZofiQaQvKWKZso0GbXELZaoUtWsNUXcpasbxQaKwoiqJRwHipVJFbyUxTl7ZuxR45XdV9Df5tTA1Vy9QD9r1x6MdYaSEUE7KAJI-_yWc_Bpeaq7iWuRaqlAn9XCEbfIwB2-o1pC-G94pBNW2g-txAskfrgmO9xOZLrkeewMkamGhN3wbjbBc_HeeQF7mc3OHKvUyjC19g9c4HwpCWBw</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Nuñez, Montserrat</creator><creator>Sastre, Sergi</creator><creator>Vidal, Merce</creator><creator>Jansa, Margarida</creator><creator>Nuñez, Esther</creator><creator>del-Val, Jose-Luis</creator><creator>Ortega, Raquel</creator><creator>Hernandez, Carmen</creator><general>Karger</general><general>S. 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Metamorphosis. Moult. Ageing</topic><topic>Discharge</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Health Status</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - epidemiology</topic><topic>Linear Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Musculoskeletal diseases</topic><topic>Musculoskeletal Diseases - epidemiology</topic><topic>Neck Pain - epidemiology</topic><topic>Neoplasms - epidemiology</topic><topic>Pain</topic><topic>Patient Discharge - statistics & numerical data</topic><topic>Rheumatic Diseases - epidemiology</topic><topic>Spain - epidemiology</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nuñez, Montserrat</creatorcontrib><creatorcontrib>Sastre, Sergi</creatorcontrib><creatorcontrib>Vidal, Merce</creatorcontrib><creatorcontrib>Jansa, Margarida</creatorcontrib><creatorcontrib>Nuñez, Esther</creatorcontrib><creatorcontrib>del-Val, Jose-Luis</creatorcontrib><creatorcontrib>Ortega, Raquel</creatorcontrib><creatorcontrib>Hernandez, Carmen</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Science Database</collection><collection>Social Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Gerontology (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nuñez, Montserrat</au><au>Sastre, Sergi</au><au>Vidal, Merce</au><au>Jansa, Margarida</au><au>Nuñez, Esther</au><au>del-Val, Jose-Luis</au><au>Ortega, Raquel</au><au>Hernandez, Carmen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Role of Musculoskeletal Disorders as Concurrent Chronic Conditions: Are They Underestimated in the Discharge?</atitle><jtitle>Gerontology (Basel)</jtitle><addtitle>Gerontology</addtitle><date>2009-01-01</date><risdate>2009</risdate><volume>55</volume><issue>6</issue><spage>666</spage><epage>673</epage><pages>666-673</pages><issn>0304-324X</issn><eissn>1423-0003</eissn><coden>GERNDJ</coden><abstract>Background: Differences in recording concurrent chronic conditions (CCs) could change the weight of the influence of the different CCs on health status. Objectives: To determine the role of musculoskeletal disorders as concurrent CCs. Methods: Cross-sectional study. Discharged patients with CCs were selected by random stratification. Sociodemographic and clinical variables, health status (SF-36), type and number of self-reported and hospital discharge summary CCs were recorded. Relationships were analyzed using linear regression models. Results: In the 227 patients included, mean self-reported CCs were 6.22 (SD 3.37) and mean hospital discharge CCs were 3.1 (SD 1.95). The most-frequent self-reported CCs were hypertension 48.4%, back pain 40.4%, neck pain 39.6%, and musculoskeletal disorders 38.4%. The most frequent discharge CCs were arterial hypertensive disease 38.3%, all cancers 22.0%, ischemic heart diseases, and angina 15.9%. Musculoskeletal disorders had the greatest negative influence on SF-36 dimensions (p < 0.05). Conclusions: Musculoskeletal disorders were underestimated in the discharge summary in comparison with those reported by patients.</abstract><cop>Basel, Switzerland</cop><pub>Karger</pub><pmid>19776537</pmid><doi>10.1159/000240014</doi><tpages>8</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Back Pain - epidemiology Biological and medical sciences Cardiovascular Diseases - epidemiology Chronic Disease - epidemiology Chronic illnesses Clinical Section Cross-Sectional Studies Development. Metamorphosis. Moult. Ageing Discharge Female Fundamental and applied biological sciences. Psychology Health Status Humans Hypertension Hypertension - epidemiology Linear Models Male Middle Aged Musculoskeletal diseases Musculoskeletal Diseases - epidemiology Neck Pain - epidemiology Neoplasms - epidemiology Pain Patient Discharge - statistics & numerical data Rheumatic Diseases - epidemiology Spain - epidemiology Vertebrates: anatomy and physiology, studies on body, several organs or systems |
title | Role of Musculoskeletal Disorders as Concurrent Chronic Conditions: Are They Underestimated in the Discharge? |
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